The use of computer-aided diagnosis (CAD) systems for skin cancer detection has been increasing over the past decade. Recently, deep learning models have been achieving remarkable results in different medical image analysis tasks [1]}. In particular, convolutional neural networks (CNN) have become the standard approach to handle this kind of problem [2]}. The progress is largely due to the International Skin Imaging Collaboration (ISIC) [3]}, which provides a large skin cancer dataset to the research community.
